# cls is an index ranging from 0 to 999 in the ImageNet label set
# type indicates which condition is extracted from the original image (canny, hed, depth, normal, sketch)
CUDA_VISIBLE_DEVICES=0 python inference.py \
    --vae_ckpt=/ifs/root/ipa01/101/user_101002/Download_Files/CAR_Ckpt/vae_ch160v4096z32.pth \
    --var_ckpt=/ifs/root/ipa01/101/user_101002/Download_Files/CAR_Ckpt/var_d16.pth \
    --car_ckpt=/ifs/root/ipa01/101/user_101002/Project/CAR/local_output_hed_new_lr0.001/car_ckpt_best.pth \
    --img_path=/ifs/root/ipa01/101/user_101002/Project/CAR/images/ILSVRC2012_val_00003014.JPEG \
    --save_path=/ifs/root/ipa01/101/user_101002/Project/CAR/output/test_img_depth/test_00003014_30.png \
    --cls=0 --type=gray